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Graphical lasso for Sparse Precision Estimation(SPE)
Configurations for improving code quality of specified programming languages
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Scalable, event-driven, deep-learning-friendly backtesting library
Train an agent using RL to navigate (and collect bananas) in a large, square world
Synthesizing and manipulating 2048x1024 images with conditional GANs
Code and hyperparameters for the paper "Generative Adversarial Networks"
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Estimate time series models, simulate time series processes
The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
Implementation of Recurrent Hidden Semi-Markov Model http://www.cc.gatech.edu/~lsong/papers/DaiDaiZhaLietal17.pdf
The Udacity open source self-driving car project
Training a cab how to drive using reinforcement learning
An environment to high-frequency trading agents under reinforcement learning
Learning to trade under the reinforcement learning framework
An Open Source Machine Learning Framework for Everyone
F-Stack is an user space network development kit with high performance based on DPDK, FreeBSD TCP/IP stack and coroutine API.